Serveur sur les données et bibliothèques médicales au Maghreb (version finale)

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<title xml:lang="en">Crohn’s disease in low and lower-middle income countries: A scoping review</title>
<author>
<name sortKey="Rajbhandari, Ruma" sort="Rajbhandari, Ruma" uniqKey="Rajbhandari R" first="Ruma" last="Rajbhandari">Ruma Rajbhandari</name>
</author>
<author>
<name sortKey="Blakemore, Samantha" sort="Blakemore, Samantha" uniqKey="Blakemore S" first="Samantha" last="Blakemore">Samantha Blakemore</name>
</author>
<author>
<name sortKey="Gupta, Neil" sort="Gupta, Neil" uniqKey="Gupta N" first="Neil" last="Gupta">Neil Gupta</name>
</author>
<author>
<name sortKey="Adler, Alma J" sort="Adler, Alma J" uniqKey="Adler A" first="Alma J" last="Adler">Alma J. Adler</name>
</author>
<author>
<name sortKey="Noble, Christopher Allen" sort="Noble, Christopher Allen" uniqKey="Noble C" first="Christopher Allen" last="Noble">Christopher Allen Noble</name>
</author>
<author>
<name sortKey="Mannan, Sara" sort="Mannan, Sara" uniqKey="Mannan S" first="Sara" last="Mannan">Sara Mannan</name>
</author>
<author>
<name sortKey="Nikolli, Klejda" sort="Nikolli, Klejda" uniqKey="Nikolli K" first="Klejda" last="Nikolli">Klejda Nikolli</name>
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<name sortKey="Yih, Alison" sort="Yih, Alison" uniqKey="Yih A" first="Alison" last="Yih">Alison Yih</name>
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<author>
<name sortKey="Joshi, Sameer" sort="Joshi, Sameer" uniqKey="Joshi S" first="Sameer" last="Joshi">Sameer Joshi</name>
</author>
<author>
<name sortKey="Bukhman, Gene" sort="Bukhman, Gene" uniqKey="Bukhman G" first="Gene" last="Bukhman">Gene Bukhman</name>
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<idno type="wicri:source">PMC</idno>
<idno type="pmid">33268969</idno>
<idno type="pmc">7684456</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7684456</idno>
<idno type="RBID">PMC:7684456</idno>
<idno type="doi">10.3748/wjg.v26.i43.6891</idno>
<date when="2020">2020</date>
<idno type="wicri:Area/Pmc/Corpus">000289</idno>
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<title xml:lang="en" level="a" type="main">Crohn’s disease in low and lower-middle income countries: A scoping review</title>
<author>
<name sortKey="Rajbhandari, Ruma" sort="Rajbhandari, Ruma" uniqKey="Rajbhandari R" first="Ruma" last="Rajbhandari">Ruma Rajbhandari</name>
</author>
<author>
<name sortKey="Blakemore, Samantha" sort="Blakemore, Samantha" uniqKey="Blakemore S" first="Samantha" last="Blakemore">Samantha Blakemore</name>
</author>
<author>
<name sortKey="Gupta, Neil" sort="Gupta, Neil" uniqKey="Gupta N" first="Neil" last="Gupta">Neil Gupta</name>
</author>
<author>
<name sortKey="Adler, Alma J" sort="Adler, Alma J" uniqKey="Adler A" first="Alma J" last="Adler">Alma J. Adler</name>
</author>
<author>
<name sortKey="Noble, Christopher Allen" sort="Noble, Christopher Allen" uniqKey="Noble C" first="Christopher Allen" last="Noble">Christopher Allen Noble</name>
</author>
<author>
<name sortKey="Mannan, Sara" sort="Mannan, Sara" uniqKey="Mannan S" first="Sara" last="Mannan">Sara Mannan</name>
</author>
<author>
<name sortKey="Nikolli, Klejda" sort="Nikolli, Klejda" uniqKey="Nikolli K" first="Klejda" last="Nikolli">Klejda Nikolli</name>
</author>
<author>
<name sortKey="Yih, Alison" sort="Yih, Alison" uniqKey="Yih A" first="Alison" last="Yih">Alison Yih</name>
</author>
<author>
<name sortKey="Joshi, Sameer" sort="Joshi, Sameer" uniqKey="Joshi S" first="Sameer" last="Joshi">Sameer Joshi</name>
</author>
<author>
<name sortKey="Bukhman, Gene" sort="Bukhman, Gene" uniqKey="Bukhman G" first="Gene" last="Bukhman">Gene Bukhman</name>
</author>
</analytic>
<series>
<title level="j">World Journal of Gastroenterology</title>
<idno type="ISSN">1007-9327</idno>
<idno type="eISSN">2219-2840</idno>
<imprint>
<date when="2020">2020</date>
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<front>
<div type="abstract" xml:lang="en">
<sec>
<title>BACKGROUND</title>
<p>While Crohn’s disease has been studied extensively in high-income countries, its epidemiology and care in low and lower-middle income countries (LLMICs) is not well established due to a lack of disease registries and diagnostic capacity.</p>
</sec>
<sec>
<title>AIM</title>
<p>To describe the published burden, diagnostic/treatment capacity, service utilization, challenges/barriers to individuals with Crohn’s in LLMICs and their providers.</p>
</sec>
<sec>
<title>METHODS</title>
<p>We conducted a scoping review utilizing a full search strategy was developed and conducted in PubMed, Embase and World Health Organization Global Index Medicus. Two independent reviewers screened the titles and abstracts of all of the publications found in this search, reviewed selected publications, and extracted relevant data, which underwent descriptive review and was analyzed in Excel.</p>
</sec>
<sec>
<title>RESULTS</title>
<p>The database search yielded 4486 publications, 216 of which were determined to be relevant to the research questions. Of all 79 LLMICs, only 21 (26.6%) have publications describing individuals with Crohn’s. Overall, the highest number of studies came from India, followed by Tunisia, and Egypt. The mean number of Crohn’s patients reported per study is 57.84 and the median is 22, with a wide range from one to 980.</p>
</sec>
<sec>
<title>CONCLUSION</title>
<p>This scoping review has shown that, although there is a severe lack of population-based data about Crohn’s in LLMICs, there is a signal of Crohn’s in these settings around the world.</p>
</sec>
</div>
</front>
<back>
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<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">World J Gastroenterol</journal-id>
<journal-id journal-id-type="iso-abbrev">World J Gastroenterol</journal-id>
<journal-id journal-id-type="publisher-id">WJG</journal-id>
<journal-title-group>
<journal-title>World Journal of Gastroenterology</journal-title>
</journal-title-group>
<issn pub-type="ppub">1007-9327</issn>
<issn pub-type="epub">2219-2840</issn>
<publisher>
<publisher-name>Baishideng Publishing Group Inc</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">33268969</article-id>
<article-id pub-id-type="pmc">7684456</article-id>
<article-id pub-id-type="other">jWJG.v26.i43.pg6891</article-id>
<article-id pub-id-type="doi">10.3748/wjg.v26.i43.6891</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Systematic Reviews</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Crohn’s disease in low and lower-middle income countries: A scoping review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Rajbhandari</surname>
<given-names>Ruma</given-names>
</name>
<aff>Division of Global Health Equity, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, United States</aff>
<aff>Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA 02199, United States.
<email>rrajbhandari@bwh.harvard.edu</email>
</aff>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Blakemore</surname>
<given-names>Samantha</given-names>
</name>
<aff>Division of Global Health Equity, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, United States</aff>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gupta</surname>
<given-names>Neil</given-names>
</name>
<aff>Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA 02199, United States</aff>
<aff>Partners in Health, NCD Synergies, Boston, MA 02199, United States</aff>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Adler</surname>
<given-names>Alma J</given-names>
</name>
<aff>Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA 02199, United States</aff>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Noble</surname>
<given-names>Christopher Allen</given-names>
</name>
<aff>Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA 02199, United States</aff>
<aff>Partners in Health, NCD Synergies, Boston, MA 02199, United States</aff>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mannan</surname>
<given-names>Sara</given-names>
</name>
<aff>Division of Global Health Equity, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, United States</aff>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nikolli</surname>
<given-names>Klejda</given-names>
</name>
<aff>Division of Global Health Equity, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, United States</aff>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yih</surname>
<given-names>Alison</given-names>
</name>
<aff>Division of Global Health Equity, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, United States</aff>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Joshi</surname>
<given-names>Sameer</given-names>
</name>
<aff>Western Reserve Health Education, Trumbull Regional Medical Center, Warren, OH 44483, United States</aff>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bukhman</surname>
<given-names>Gene</given-names>
</name>
<aff>Division of Global Health Equity, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, United States</aff>
<aff>Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA 02199, United States</aff>
<aff>Partners in Health, NCD Synergies, Boston, MA 02199, United States</aff>
</contrib>
</contrib-group>
<author-notes>
<fn>
<p>Author contributions: Rajbhandari R, Blakemore S, Adler AJ, Noble CA and Bukhman GB designed the research; Blakemore S, Mannan S, Nikolli K and Yih A performed the research; Rajbhandari R, Blakemore S, Mannan S, Nikolli K and Yih A analyzed the data; Rajbhandari R, Blakemore S, wrote the paper; Rajbhandari R, Adler JA, Gupta N, Bukhman G supervised the paper; all authors read and approved the final manuscript.</p>
<p>Corresponding author: Ruma Rajbhandari, MD, MPH, Associate Physician, Division of Global Health Equity, Department of Medicine, Brigham and Women’s Hospital, 75 Francis Street, Boston, MA 02115, United States.
<email>rrajbhandari@bwh.harvard.edu</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="ppub">
<day>21</day>
<month>11</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>21</day>
<month>11</month>
<year>2020</year>
</pub-date>
<volume>26</volume>
<issue>43</issue>
<fpage>6891</fpage>
<lpage>6908</lpage>
<history>
<date date-type="received">
<day>19</day>
<month>6</month>
<year>2020</year>
</date>
<date date-type="rev-recd">
<day>4</day>
<month>9</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>10</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.</copyright-statement>
<copyright-year>2020</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/">
<license-p>This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>BACKGROUND</title>
<p>While Crohn’s disease has been studied extensively in high-income countries, its epidemiology and care in low and lower-middle income countries (LLMICs) is not well established due to a lack of disease registries and diagnostic capacity.</p>
</sec>
<sec>
<title>AIM</title>
<p>To describe the published burden, diagnostic/treatment capacity, service utilization, challenges/barriers to individuals with Crohn’s in LLMICs and their providers.</p>
</sec>
<sec>
<title>METHODS</title>
<p>We conducted a scoping review utilizing a full search strategy was developed and conducted in PubMed, Embase and World Health Organization Global Index Medicus. Two independent reviewers screened the titles and abstracts of all of the publications found in this search, reviewed selected publications, and extracted relevant data, which underwent descriptive review and was analyzed in Excel.</p>
</sec>
<sec>
<title>RESULTS</title>
<p>The database search yielded 4486 publications, 216 of which were determined to be relevant to the research questions. Of all 79 LLMICs, only 21 (26.6%) have publications describing individuals with Crohn’s. Overall, the highest number of studies came from India, followed by Tunisia, and Egypt. The mean number of Crohn’s patients reported per study is 57.84 and the median is 22, with a wide range from one to 980.</p>
</sec>
<sec>
<title>CONCLUSION</title>
<p>This scoping review has shown that, although there is a severe lack of population-based data about Crohn’s in LLMICs, there is a signal of Crohn’s in these settings around the world.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Crohn’s disease</kwd>
<kwd>Low and lower-middle income countries</kwd>
<kwd>Scoping review</kwd>
<kwd>Service utilization</kwd>
<kwd>Diagnostic/Treatment capacity</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<p>
<bold>Core Tip:</bold>
This scoping review demonstrates the lack of epidemiologic data on Crohn’s disease in low and lower-middle income countries, but that it does exist in these settings and presents unique challenges. There is a need for population-based research to fully understand the its burden among the world’s poorest people.</p>
<sec>
<title>INTRODUCTION</title>
<p>Crohn’s disease is a chronic gastrointestinal disease which appears to be only moderately heritable[
<xref rid="B1" ref-type="bibr">1</xref>
,
<xref rid="B2" ref-type="bibr">2</xref>
], and multiple possible environmental and behavioral causes have been in invoked[
<xref rid="B3" ref-type="bibr">3</xref>
], including insufficient contact with infectious diseases in childhood (the hygiene hypothesis), antibiotic exposure, tobacco use, and consumption of highly processed foods. Crohn’s has historically been regarded as a “lifestyle” disease of industrialized countries[
<xref rid="B4" ref-type="bibr">4</xref>
,
<xref rid="B5" ref-type="bibr">5</xref>
]. First described in the United States in 1932, Crohn’s was increasingly diagnosed in Europe and North America during the 20
<sup>th</sup>
century, where around 0.5% of the population is now thought to be affected[
<xref rid="B6" ref-type="bibr">6</xref>
,
<xref rid="B7" ref-type="bibr">7</xref>
]. More recently, Crohn’s has been recognized in the rapidly developing upper-middle income countries of East Asia[
<xref rid="B8" ref-type="bibr">8</xref>
] and South America[
<xref rid="B9" ref-type="bibr">9</xref>
], with prevalence rates as high as 24 per 100000 in Brazil[
<xref rid="B10" ref-type="bibr">10</xref>
], and 11 per 100000 in South Korea[
<xref rid="B11" ref-type="bibr">11</xref>
].</p>
<p>In contrast, previous systematic reviews of the published literature on Crohn’s epidemiology have found few studies on either the prevalence or incidence of Crohn’s coming from the low- and lower-middle income countries (LLMICs)[
<xref rid="B12" ref-type="bibr">12</xref>
,
<xref rid="B13" ref-type="bibr">13</xref>
]. A review of population-based studies that were published between 1990 and 2016 found data from only four LLMICs[
<xref rid="B14" ref-type="bibr">14</xref>
]. These LLMIC studies were all in Asia (the Gampaha district of Sri Lanka, the Hyderabad district of India, Manilla city in the Phillippines, and Central Jakarata in Indonesia), had all come out of the prospective Asia-Pacific Crohn’s and Colitis Epidemiologic Study[
<xref rid="B14" ref-type="bibr">14</xref>
-
<xref rid="B17" ref-type="bibr">17</xref>
], and were all focused on urban areas. An earlier systematic review of incidence and prevalence studies (both population and facility-based) published between 1950 and 2010 only identified data from three countries that were classified as LLMICs at the time the research was conducted[
<xref rid="B18" ref-type="bibr">18</xref>
]. These countries were Sri Lanka (prospective study of Columbo and Gampaha districts)[
<xref rid="B19" ref-type="bibr">19</xref>
], Panama (restrospective review of hospital data from the Colon district)[
<xref rid="B20" ref-type="bibr">20</xref>
], and China (review of published reports from all hospitals)[
<xref rid="B21" ref-type="bibr">21</xref>
]. Currently, two of these countries—China and Panama are classified as upper-middle income and high income respectively. As a result, the 2017 Global Burden of Disease study largely based its inflammatory bowel disease (IBD) rate estimates for LLMICs on global trends[
<xref rid="B22" ref-type="bibr">22</xref>
].</p>
<p>The vast majority of the world’s poorest billion people live in the rural areas of LLMICs in sub-Saharan Africa and South Asia[
<xref rid="B23" ref-type="bibr">23</xref>
]. In the absence of primary population data regarding Crohn’s in these countries, there has been a perception that the burden of Crohn’s remains low among the global poor. Prior systematic reviews on Crohn’s have been limited, however, by narrow inclusion criteria focused on epidemiology (incidence and prevalence). Furthermore, the lack of reports regarding Crohn’s in LLMICs may be due to limitations in access to diagnosis and treatment for Crohn’s rather than the absence of disease. The correct diagnosis of Crohn’s requires a complex chain of events beginning with patients seeking care and ending with colonoscopy and histology. A break in any part of this chain resulting from gaps in financing, education, equipment, or supplies on the part of the patient or provider can result in a missed diagnosis. Even the pathological diagnosis of Crohn’s may be confused with intestinal tuberculosis in the absence of experienced healthworkers[
<xref rid="B24" ref-type="bibr">24</xref>
]. Crohn’s may also have an impact on patients living in extreme poverty that is out of proportion with the disease prevalence. Follow-up care for Crohn’s, like many other chronic diseases, requires frequent visits to health facilities, a steady supply of medications (including biologics), and often surgery[
<xref rid="B24" ref-type="bibr">24</xref>
]. The absence of the services could result in a high rates of disability and death among the poor affected by Crohn’s in LLMICs.</p>
<p>As part of an effort to understand the non-communicable burden of disease among the world’s poorest, we have conducted a scoping review with broad inclusion criteria focused on the experience with Crohn’s in LLMICs[
<xref rid="B25" ref-type="bibr">25</xref>
]. Specifically, this review seeks to answer the following research questions: (1) What is the published evidence regarding the burden of Crohn’s disease in communities and health facilities in LLMICs? Is underdiagnosis a problem? (2) What is the diagnostic and treatment capacity for Crohn’s disease in LLMICs? What services, equipment, and medications are used to diagnose and manage Crohn’s in LLMICs? (3) What challenges and barriers are there to providers and patients with Crohn’s disease in LLMICs in terms of diagnosis, treatment, and long-term management? And (4) What is known from the published literature regarding the social and demographic characteristics of patients with Crohn’s disease in LLMICs?</p>
</sec>
<sec sec-type="methods">
<title>MATERIALS AND METHODS</title>
<sec>
<title>Inclusion criteria</title>
<p>This review considered studies that describe cases of individuals with Crohn’s disease in an LLMIC as defined by The World Bank[
<xref rid="B17" ref-type="bibr">17</xref>
]. The World Bank categorizes the world’s countries into four income groups based on gross national income per capita: low-income countries, lower-middle income countries, upper-middle income countries, and high-income countries. The group of interest, LLMIC, includes both low-income countries and lower-middle income countries, or countries with a gross national income per capita of United Staes $3895 or less. To capture possible undiagnosed or misdiagnosed cases of Crohn’s in LLMICs that do not have any published Crohn’s data, as well as to understand their diagnostic and treatment capacity for Crohn’s, studies that mention the use of diagnostics (
<italic>i.e</italic>
., colonoscopy, small bowel follow-through, stool calprotectin), findings (
<italic>i.e</italic>
., skip lesions, cobblestone, small bowel obstruction), and treatments (
<italic>i.e</italic>
., colectomy, small bowel resection, infliximab) utilized in managing Crohn’s disease were also included. See
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 1</uri>
for a full list of search terms. Publications that do not describe cases of individuals diagnosed with Crohn’s disease were excluded from this review. Relevant secondary sources (
<italic>i.e</italic>
., reviews, editorials, and commentaries) were excluded and used as background information. Studies that are based on cases of Crohn’s in middle, upper-middle, or high-income countries were excluded. Studies that are published in a language other than English were excluded. Studies describing non-human animals were excluded.</p>
</sec>
<sec>
<title>Search strategy</title>
<p>The search strategy aimed to locate published studies from all years. An initial limited search of PubMed was undertaken to identify articles on the topic. The text words contained in the titles and abstracts of relevant articles, and the index terms used to describe the articles were used to develop a full search strategy for PubMed in collaboration with an experienced medical librarian (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 1</uri>
for full search strategy). The search strategy, including all identified keywords and index terms, was adapted for Embase and World Health Organization (WHO) Global Index Medicus. The team used free text and Medical Subject Headings, when applicable. Searches were conducted on publications in English for all years.</p>
</sec>
<sec>
<title>Information sources</title>
<p>The information sources for this review were the databases PubMed, Embase, and WHO Global Index Medicus, which includes AMRO (Africa), IMEMR (Eastern Mediterranean), IMSEAR (South East Asia), LILACS (Americas), and WPRIM (Western Pacific), as well as MEDLINE and SciELO.</p>
</sec>
<sec>
<title>Study selection</title>
<p>Following the search on May 14, 2019, all identified citations were collated and uploaded into EndNote X9 2018 (Clarivate Analytics, PA, United States) and duplicates removed. The study selection process consisted of two parts. First, two independent reviewers (SB and SM) screened the title and abstracts of all of the initially selected publications and included all of the studies that indicated a signal of Crohn’s disease or any related Crohn’s diagnostics or Crohn’s treatment in an LLMIC. Studies that met or could potentially meet the inclusion criteria were saved for full text review in EndNote. Any disagreements that arise between the reviewers were resolved through discussion, or with a third reviewer.</p>
<p>Next, a full text review was conducted to categorize the studies based on country and relevance to the research question. Two independent reviewers (KN and SM) assessed the full text of selected citations in detail against the inclusion criteria. Reasons for exclusion of full text studies that did not meet the inclusion criteria were recorded and are reported in a Preferred Reporting Items for Systematic Reviews and Meta-analyses flow diagram (Figure
<xref ref-type="fig" rid="F1">1</xref>
). Any disagreements that arose between the reviewers were resolved through discussion, or with a third reviewer (SB).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption>
<p>Preferred reporting items for systematic reviews and meta-analyses flow diagram depicting the number of studies identified and excluded at each stage of the review process. LLMIC: Lower-middle income countries.</p>
</caption>
<graphic xlink:href="WJG-26-6891-g001"></graphic>
</fig>
</sec>
<sec>
<title>Data extraction</title>
<p>Full text of the publications selected were reviewed by two independent researchers (KN and SM) and data was extracted using a pre-structured and tested data collection form in Microsoft Excel. The data extracted includes specific details about the state of Crohn’s disease burden and care in LLMICs according to the review questions and specific objectives of the study. Any disagreements that arose between the reviewers were resolved through discussion, or with a third reviewer (SB). Authors of papers were contacted to request missing or additional data, where required.</p>
<p>A charting table was developed (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 2</uri>
, data extraction instrument) to record key information of the source, including the title, author, journal, date of publication, country, study years, study design, and results relevant to the review questions. In relation to burden, we collected data on number of cases reported, prevalence, incidence, odds, mortality rate, disability-adjusted life year rate, and average disease duration. Patient characteristics include both sociodemographic characteristics (age, residency, socioeconomic status, insurance coverage, out of pocket expenses) and clinical features of their disease (age at diagnosis, sex, risk factors, disease severity, disease behavior, and disease location, Crohn’s Disease Activity Index, extraintestinal manifestations, comorbidities, and disease outcomes). Qualitative information about disease diagnosis, management, long-term and follow-up care, and complications was documented to understand care pathways. Availability of diagnostic and treatment services included blood tests, stool tests, tissue pathology, Tuberculosis (TB) testing, endoscopy, radiology/imaging, other equipment, providers, and financing. Qualitative information about provider challenges (diagnostic and management) and patient barriers (access and financial) were collected in the table.</p>
</sec>
<sec>
<title>Data analysis</title>
<p>The descriptive findings extracted from the studies identified were charted to summarize the results of the research objectives of this review. The charted data then underwent a narrative review and descriptive analysis to identify emerging themes found in the data in terms of Crohn’s care pathways and availability of diagnostic and treatment services. Quantitative data regarding the burden of Crohn’s were analyzed in Excel.</p>
</sec>
</sec>
<sec>
<title>RESULTS</title>
<p>The initial database search of studies that describe Crohn’s disease and related diagnostics and findings in LLMICs found 4480 publications after removing duplicates, 702 of which were kept after title and abstract screening (Figure
<xref ref-type="fig" rid="F1">1</xref>
). Of those 702 publications, 216 were relevant to the research questions, 208 (96.3%) of which were based in lower-middle income countries and 8 (3.7%) of which were based in low income countries (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 3</uri>
for a summary of all studies included in review by country). Of all 79 LLMICs, we only found 21 (26.6%) with studies describing individuals with Crohn’s disease. Most (73.4%) of the LLMICs do not have any studies describing individuals with Crohn’s disease identified through our search (Figure
<xref ref-type="fig" rid="F2">2A</xref>
).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption>
<p>Studies with Crohn’s disease. Low and lower-middle income countries with and without published Crohn’s disease studies (A); summary of studies describing Crohn’s disease cases by world region (B) and low and lower-middle income countries (C).</p>
</caption>
<graphic xlink:href="WJG-26-6891-g002"></graphic>
</fig>
<p>Of the relevant articles, 129 (59.7%) were based in LLMICs in South Asia, 67 (31.0%) were from the Middle East and North Africa, 16 (7.4%) were from sub-Saharan Africa, 5 (2.3%) were from East Asia and Pacific, and 1 (0.5%) was from Latin America (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 3</uri>
, Figure
<xref ref-type="fig" rid="F2">2B</xref>
). The majority of Crohn’s studies identified are from India (49.5%), followed by Tunisia (19.0%), Egypt (8.3%), and Sri Lanka (5.1%). Bolivia, Cameroon, Ghana, Malawi, the Philippines, Syria, Uganda, and Vietnam each had one Crohn’s disease study (0.5%) (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 3</uri>
, Figure
<xref ref-type="fig" rid="F2">2C</xref>
).</p>
<sec>
<title>Crohn’s disease burden in LLMICs</title>
<p>Overall, the mean number of cases of Crohn’s disease reported per study is 57.84 and the median is 22, but ranges widely from single-patient case studies to cohorts of as many as 980 individuals with Crohn’s, and varies from country to country (Table
<xref rid="T1" ref-type="table">1</xref>
). Countries in South Asia (63.42%) and the Middle East and North Africa (61.73%) regions reported substantially higher mean numbers of Crohn’s cases per study compared to sub-Saharan Africa (3.25%) and East Asia and Pacific (2.67%). Syria (106) and Morocco (102) reported the highest mean number of cases per study, while Bangladesh, Cameroon, Ghana, Malawi, and Uganda, each only have one single-patient case study (Table
<xref rid="T1" ref-type="table">1</xref>
).</p>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption>
<p>Mean and range number of cases of Crohn’s reported by each study included in the review, overall, by region, and by low and lower-middle income countries</p>
</caption>
<table frame="hsides" rules="groups">
<thead align="center">
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Region/Country</bold>
</td>
<td rowspan="1" colspan="1">
<bold>
<italic>n</italic>
<xref ref-type="table-fn" rid="T1FN1">1</xref>
</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Total cases</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Mean</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Median</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Range</bold>
</td>
</tr>
</thead>
<tbody align="center">
<tr>
<td align="left" rowspan="1" colspan="1">Overall</td>
<td rowspan="1" colspan="1">220
<xref ref-type="table-fn" rid="T1FN1">1</xref>
</td>
<td rowspan="1" colspan="1">12725</td>
<td rowspan="1" colspan="1">57.84</td>
<td rowspan="1" colspan="1">22.00</td>
<td rowspan="1" colspan="1">1-980</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">South Asia</td>
<td rowspan="1" colspan="1">131</td>
<td rowspan="1" colspan="1">8485</td>
<td rowspan="1" colspan="1">64.77</td>
<td rowspan="1" colspan="1">17.00</td>
<td rowspan="1" colspan="1">1-980</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">India</td>
<td rowspan="1" colspan="1">107</td>
<td rowspan="1" colspan="1">8054</td>
<td rowspan="1" colspan="1">75.27</td>
<td rowspan="1" colspan="1">22.00</td>
<td rowspan="1" colspan="1">1-980</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Sri Lanka</td>
<td rowspan="1" colspan="1">10</td>
<td rowspan="1" colspan="1">332</td>
<td rowspan="1" colspan="1">33.20</td>
<td rowspan="1" colspan="1">6.00</td>
<td rowspan="1" colspan="1">1-153</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Pakistan</td>
<td rowspan="1" colspan="1">9</td>
<td rowspan="1" colspan="1">82</td>
<td rowspan="1" colspan="1">9.11</td>
<td rowspan="1" colspan="1">3.00</td>
<td rowspan="1" colspan="1">1-52</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Nepal</td>
<td rowspan="1" colspan="1">4</td>
<td rowspan="1" colspan="1">16</td>
<td rowspan="1" colspan="1">4.00</td>
<td rowspan="1" colspan="1">2.00</td>
<td rowspan="1" colspan="1">1-11</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Bangladesh</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">1.00</td>
<td rowspan="1" colspan="1">1.00</td>
<td rowspan="1" colspan="1">1</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Middle East and North Africa</td>
<td rowspan="1" colspan="1">67</td>
<td rowspan="1" colspan="1">4165</td>
<td rowspan="1" colspan="1">62.16</td>
<td rowspan="1" colspan="1">39.00</td>
<td rowspan="1" colspan="1">1-226</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Tunisia</td>
<td rowspan="1" colspan="1">41</td>
<td rowspan="1" colspan="1">2984</td>
<td rowspan="1" colspan="1">72.78</td>
<td rowspan="1" colspan="1">45.00</td>
<td rowspan="1" colspan="1">1-226</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Egypt</td>
<td rowspan="1" colspan="1">18</td>
<td rowspan="1" colspan="1">361</td>
<td rowspan="1" colspan="1">20.06</td>
<td rowspan="1" colspan="1">12.50</td>
<td rowspan="1" colspan="1">1-100</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Morocco</td>
<td rowspan="1" colspan="1">7</td>
<td rowspan="1" colspan="1">714</td>
<td rowspan="1" colspan="1">102.00</td>
<td rowspan="1" colspan="1">101.00</td>
<td rowspan="1" colspan="1">68-136</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Syria</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">106</td>
<td rowspan="1" colspan="1">106.00</td>
<td rowspan="1" colspan="1">106.00</td>
<td rowspan="1" colspan="1">106</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">sub-Saharan Africa</td>
<td rowspan="1" colspan="1">16</td>
<td rowspan="1" colspan="1">52</td>
<td rowspan="1" colspan="1">3.25</td>
<td rowspan="1" colspan="1">1.00</td>
<td rowspan="1" colspan="1">1-17</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Nigeria</td>
<td rowspan="1" colspan="1">5</td>
<td rowspan="1" colspan="1">15</td>
<td rowspan="1" colspan="1">3.00</td>
<td rowspan="1" colspan="1">1.00</td>
<td rowspan="1" colspan="1">1-8</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Sudan</td>
<td rowspan="1" colspan="1">3</td>
<td rowspan="1" colspan="1">23</td>
<td rowspan="1" colspan="1">7.67</td>
<td rowspan="1" colspan="1">8.00</td>
<td rowspan="1" colspan="1">3-12</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Ethiopia</td>
<td rowspan="1" colspan="1">2</td>
<td rowspan="1" colspan="1">8</td>
<td rowspan="1" colspan="1">4.00</td>
<td rowspan="1" colspan="1">4.00</td>
<td rowspan="1" colspan="1">1-7</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Kenya</td>
<td rowspan="1" colspan="1">2</td>
<td rowspan="1" colspan="1">2</td>
<td rowspan="1" colspan="1">1.00</td>
<td rowspan="1" colspan="1">1.00</td>
<td rowspan="1" colspan="1">1-1</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Cameroon</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">1.00</td>
<td rowspan="1" colspan="1">1.00</td>
<td rowspan="1" colspan="1">1</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Ghana</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">1.00</td>
<td rowspan="1" colspan="1">1.00</td>
<td rowspan="1" colspan="1">1</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Malawi</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">1.00</td>
<td rowspan="1" colspan="1">1.00</td>
<td rowspan="1" colspan="1">1</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Uganda</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">1.00</td>
<td rowspan="1" colspan="1">1.00</td>
<td rowspan="1" colspan="1">1</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">East Asia and Pacific</td>
<td rowspan="1" colspan="1">5</td>
<td rowspan="1" colspan="1">15</td>
<td rowspan="1" colspan="1">3.00</td>
<td rowspan="1" colspan="1">8.00</td>
<td rowspan="1" colspan="1">1-6</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Indonesia</td>
<td rowspan="1" colspan="1">2</td>
<td rowspan="1" colspan="1">6</td>
<td rowspan="1" colspan="1">3.00</td>
<td rowspan="1" colspan="1">3.00</td>
<td rowspan="1" colspan="1">1-5</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Philippines</td>
<td rowspan="1" colspan="1">2</td>
<td rowspan="1" colspan="1">3</td>
<td rowspan="1" colspan="1">1.50</td>
<td rowspan="1" colspan="1">1.50</td>
<td rowspan="1" colspan="1">1-2</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Vietnam</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">6</td>
<td rowspan="1" colspan="1">6.00</td>
<td rowspan="1" colspan="1">6.00</td>
<td rowspan="1" colspan="1">6</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Latin America and the Caribbean</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">8</td>
<td rowspan="1" colspan="1">8.00</td>
<td rowspan="1" colspan="1">8.00</td>
<td rowspan="1" colspan="1">8</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Bolivia</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">8</td>
<td rowspan="1" colspan="1">8.00</td>
<td rowspan="1" colspan="1">8.00</td>
<td rowspan="1" colspan="1">8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="T1FN1">
<label>1</label>
<p>Higher than actual number of studies due to two multi-country papers reporting cases of Crohn's.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Of the 21 LLMICs included in the full-text review, only two countries had studies estimating prevalence of Crohn’s, India and Sri Lanka (Table
<xref rid="T2" ref-type="table">2</xref>
). Two studies reported prevalence of Crohn’s in Sri Lanka, ranging from 1.2 per 100000 in the Colombo and Gampaha Districts in 2010[
<xref rid="B19" ref-type="bibr">19</xref>
], to 2.33 per 100000 in the Central Province in 2018[
<xref rid="B26" ref-type="bibr">26</xref>
]. Four of the 21 included countries countries—India, Indonesia, Sri Lanka, and the Philippines—reported incidence of Crohn’s disease, with most of these data coming from one multi-country study published in 2019[
<xref rid="B14" ref-type="bibr">14</xref>
] (Table
<xref rid="T2" ref-type="table">2</xref>
). This study reported annual incidence of Crohn’s ranging from 0.14 per 100000 in the Philippines to 3.91 per 100000 in India[
<xref rid="B14" ref-type="bibr">14</xref>
]. The 2010 study from Sri Lanka reported an annual incidence of Crohn’s disease of 0.09 per 100000 in the Colombo and Gampha Districts[
<xref rid="B19" ref-type="bibr">19</xref>
].</p>
<table-wrap id="T2" position="float">
<label>Table 2</label>
<caption>
<p>Prevalence and incidence of Crohn's disease reported by each study included in the review, by low and lower-middle income countries</p>
</caption>
<table frame="hsides" rules="groups">
<thead align="center">
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Country</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Prevalence</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Incidence</bold>
</td>
</tr>
</thead>
<tbody align="center">
<tr>
<td align="left" rowspan="1" colspan="1">India</td>
<td rowspan="1" colspan="1">-</td>
<td rowspan="1" colspan="1">3.91 per 100000 (Ng et al[
<xref rid="B14" ref-type="bibr">14</xref>
], 2019)</td>
</tr>
<tr>
<td rowspan="2" align="left" colspan="1">Sri Lanka</td>
<td rowspan="1" colspan="1">1.2 per 100000 (Niriella et al[
<xref rid="B19" ref-type="bibr">19</xref>
], 2010)</td>
<td rowspan="1" colspan="1">0.52 per 100000 (Ng et al[
<xref rid="B14" ref-type="bibr">14</xref>
], 2019)</td>
</tr>
<tr>
<td rowspan="1" colspan="1">2.33 per 100000 (Kalubowila et al[
<xref rid="B25" ref-type="bibr">25</xref>
], 2018)</td>
<td rowspan="1" colspan="1">0.09 per 100000 (Niriella et al[
<xref rid="B19" ref-type="bibr">19</xref>
], 2010)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Indonesia</td>
<td rowspan="1" colspan="1">-</td>
<td rowspan="1" colspan="1">0.27 per 100000 (Ng et al[
<xref rid="B14" ref-type="bibr">14</xref>
], 2019)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Philippines</td>
<td rowspan="1" colspan="1">-</td>
<td rowspan="1" colspan="1">0.14 per 100000 (Ng et al[
<xref rid="B14" ref-type="bibr">14</xref>
], 2019)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Diagnostic and treatment capacity and utilization of services</title>
<p>Of the 216 studies included in the review, 112 discussed the utilization of diagnostic and treatment services, all of which include cases that were confirmed
<italic>via</italic>
both colonoscopy and histology (Table
<xref rid="T3" ref-type="table">3</xref>
). Of the 21 LLMICs included, all but Bolivia and Syria had at least one study discussing the utilization of of Crohn’s diagnostic services: Blood testing, stool testing, TB testing, radiology/imaging, endoscopy, and pathology services. South Asian countries reported the highest utilization of diagnostic services, with only Nepal lacking studies mentioning stool testing and TB testing (Table
<xref rid="T3" ref-type="table">3</xref>
, see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 4</uri>
for numbers of studies reporting utilization of Crohn’s disease diagnostic and treatment services from each country). Included LLMICs in the Middle East and North Africa all had multiple studies reporting the utilization of endoscopy, radiology, and stool testing, however only one study from Egypt mentioned TB testing (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 4</uri>
)[
<xref rid="B27" ref-type="bibr">27</xref>
]. Studies from sub-Saharan Africa also mentioned TB testing as a tool for diagnosing Crohn’s less frequently compared to those from South Asia, with only two of the 16 included sub-Saharan African countries having studies discussing it in this context[
<xref rid="B28" ref-type="bibr">28</xref>
,
<xref rid="B29" ref-type="bibr">29</xref>
]. Twelve studies (five from India[
<xref rid="B30" ref-type="bibr">30</xref>
-
<xref rid="B34" ref-type="bibr">34</xref>
], two from Tunisia[
<xref rid="B35" ref-type="bibr">35</xref>
,
<xref rid="B36" ref-type="bibr">36</xref>
], and one each from Egypt[
<xref rid="B37" ref-type="bibr">37</xref>
], Nepal[
<xref rid="B38" ref-type="bibr">38</xref>
], Sudan[
<xref rid="B28" ref-type="bibr">28</xref>
], Ethiopia[
<xref rid="B39" ref-type="bibr">39</xref>
], and Uganda[
<xref rid="B40" ref-type="bibr">40</xref>
]) described Crohn’s being diagnosed surgically or on autopsy. Two studies, one a multi-country study from Asia and one from Nigeria, mentioned that only a clinical diagnosis of Crohn’s disease was made without endoscopic and pathologic investigation unless multiple diseases were suspected. In India, a failed trial of anti-tubercular therapy was mentioned in 11 studies as an important part of diagnosing Crohn’s disease. Two studies from Pakistan, and one study each from Ethiopia and Malawi, also discussed first treating their patients with anti-tubercular therapy to aid in Crohn’s disease diagnosis. It is important to note that many countries only have one or two included studies, so the absence of diagnostics mentioned might reflect a lack of academic research rather than a true lack of diagnostic capacity in those countries (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 4</uri>
).</p>
<table-wrap id="T3" position="float">
<label>Table 3</label>
<caption>
<p>Utilization of Crohn’s disease diagnostic and treatment services reported in studies included in the review by region and country
<sup>1</sup>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead align="center">
<tr>
<td rowspan="2" align="left" colspan="1">
<bold>Country/ Region</bold>
</td>
<td colspan="9" rowspan="1">
<bold>Diagnostics</bold>
<hr></hr>
</td>
<td colspan="5" rowspan="1">
<bold>Medical</bold>
<hr></hr>
</td>
<td colspan="5" rowspan="1">
<bold>Surgical</bold>
<hr></hr>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>Endo-scopy</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Path-ology</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Radio-logy</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Blood Test-ing</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Stool Test-ing</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Trial of ATT</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Surgical/ autopsy diagnosis</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Clinical diagnosis only</bold>
</td>
<td rowspan="1" colspan="1">
<bold>TB Test-ing</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Cortico-steroids</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Amino-salicyclates</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Immuno-modulators</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Biologic agents</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Nutritional therapy</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Colect-omy</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Ost-omy</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Small bowel resection</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Ileoanal pouch</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Stricture-plasty</bold>
</td>
</tr>
</thead>
<tbody align="center">
<tr>
<td align="left" rowspan="1" colspan="1">Overall (
<italic>n</italic>
= 216)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">South Asia (
<italic>n</italic>
= 129)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">India (
<italic>n</italic>
= 107)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Sri Lanka (
<italic>n</italic>
= 11)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Pakistan (
<italic>n</italic>
= 9)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Nepal (
<italic>n</italic>
= 3)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Bangladesh (
<italic>n</italic>
= 2)</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Middle East and North Africa (
<italic>n</italic>
= 67)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Tunisia (
<italic>n</italic>
= 41)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Egypt (
<italic>n</italic>
= 18)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Morocco (
<italic>n</italic>
= 7)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">sub-Saharan Africa (
<italic>n</italic>
= 16)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Nigeria (
<italic>n</italic>
= 5)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Sudan (
<italic>n</italic>
= 3)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Ethiopia (
<italic>n</italic>
= 2)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Kenya (
<italic>n</italic>
= 2)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Uganda (
<italic>n</italic>
= 1)</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Ghana (
<italic>n</italic>
= 1)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Cameroon (
<italic>n</italic>
= 1)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Malawi (
<italic>n</italic>
= 1)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">East Asia and Pacific (
<italic>n</italic>
= 5)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Indonesia (
<italic>n</italic>
= 3)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Philippines (
<italic>n</italic>
= 2)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Vietnam (
<italic>n</italic>
= 1)</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">X</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>“X” indicates countries with at least one study describing the use of each service – see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 4</uri>
for number of studies reporting each service.
<sup>1</sup>
Studies from Bolivia and Syria did not report on diagnostic or treatment services availability.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Of the 21 LLMICs included, all but Bolivia, Ghana, and Syria had at least one study discussing the utilization of one or more Crohn’s medications or surgical treatments (Table
<xref rid="T3" ref-type="table">3</xref>
). Corticosteroids, aminosalicyclates, and immunomodulators are the most frequently reported medications overall, while biologic agents are the least available (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 4</uri>
). Studies from India, Pakistan, Sri Lanka, Tunisia, and Egypt, report the use of medications in all major Crohn’s medication categories, while those from Bangladesh, Morocco, Kenya, Uganda, and Vietnam did not mention any Crohn’s medications (Table
<xref rid="T3" ref-type="table">3</xref>
). The use of biologics were only discussed in 26 of the 216 studies, and were not mentioned in any studies from sub-Saharan Africa or East Asia and Pacific (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 4</uri>
). Nutritional therapy was also scaresly mentioned, with only six studies discussing dietary changes as a treatment for IBD: four from India[
<xref rid="B41" ref-type="bibr">41</xref>
-
<xref rid="B44" ref-type="bibr">44</xref>
], one from Egypt[
<xref rid="B45" ref-type="bibr">45</xref>
], and one from Malawi[
<xref rid="B46" ref-type="bibr">46</xref>
] (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 4</uri>
).</p>
<p>The most frequently discussed Crohn’s surgery overall is colectomy, followed closely by small bowel resection (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 4</uri>
). Ileoanal pouches were not specifically described in any of the included studies, but several studies described other or unspecified anal surgery for Crohn’s disease. Studies from Ghana, Malawi, and the Philippines did not mention any Crohn’s surgeries, and those from Bangladesh, Morocco, Sudan, and Kenya discussed surgery but did not specify which types (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 4</uri>
). Again, it is important to note that those countries with higher numbers of included studies also report the greatest use of diagnostics, medications, and surgeries.</p>
</sec>
<sec>
<title>Socioeconomic characteristics</title>
<p>Of the 216 studies in 21 countries included in this review, only 29 studies in 11 countries discussed patient geographic, socioeconomic, or cost information (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 5</uri>
for a summary of patient geographic residency, socioeconomic characteristics, insurance coverage, and out of pocket costs). India had the most information due to the large number of available publications. All eight[
<xref rid="B14" ref-type="bibr">14</xref>
,
<xref rid="B32" ref-type="bibr">32</xref>
,
<xref rid="B47" ref-type="bibr">47</xref>
-
<xref rid="B52" ref-type="bibr">52</xref>
] of the studies from India that discussed patients’ geography reported that more individuals with Crohn’s resided in urban areas compared to rural areas (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table</uri>
). Similarly, studies from Egypt[
<xref rid="B53" ref-type="bibr">53</xref>
], Ethiopia[
<xref rid="B54" ref-type="bibr">54</xref>
], and Indonesia[
<xref rid="B14" ref-type="bibr">14</xref>
,
<xref rid="B55" ref-type="bibr">55</xref>
] report individuals with Crohn’s coming from from cities more frequently. Sri Lanka, on the other hand, has a recent study reporting more cases among rural communities (73.9%) than urban (26.1%)[
<xref rid="B53" ref-type="bibr">53</xref>
]. Two older studies from Steury in 1975[
<xref rid="B54" ref-type="bibr">54</xref>
] and Bhatt in 1980[
<xref rid="B55" ref-type="bibr">55</xref>
] also describe more rural Crohn’s patients than urban.</p>
<p>Only eight studies from three of the included countries reported on socioeconomic characteristics, either income level, education level, or employment status: India, Tunisia, and Sudan (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 5</uri>
). Four of the five Indian studies[
<xref rid="B49" ref-type="bibr">49</xref>
,
<xref rid="B51" ref-type="bibr">51</xref>
,
<xref rid="B56" ref-type="bibr">56</xref>
,
<xref rid="B57" ref-type="bibr">57</xref>
], as well as the one from Sudan[
<xref rid="B41" ref-type="bibr">41</xref>
], reported that most individuals with Crohn’s disease belong to the middle or upper class and have relatively high level of education. In contrast, one study from India reported that the majority of individuals with Crohn’s are non-graduates (62.6%), are unemployed or unskilled workers (62.3%), and have an annual family income of less than 1000000 INR (approximately $14K) (83.8%)[
<xref rid="B52" ref-type="bibr">52</xref>
,
<xref rid="B58" ref-type="bibr">58</xref>
]. One Tunisian study from 2014 discussing socioeconomic characteristics reported that over half of the patients had a university education[
<xref rid="B59" ref-type="bibr">59</xref>
], whereas another in 2017 reported that 22.2% had a university education[
<xref rid="B60" ref-type="bibr">60</xref>
]. This study also reported that 34.3% of patients had “bad” socioeconomic conditions, 49% had “good” socioeconomic conditions, and 16.7 had “well” socioeconomic conditions[
<xref rid="B60" ref-type="bibr">60</xref>
].</p>
<p>Three included studies from India and two from Nigeria describe out of pocket costs and insurance coverage of individuals with Crohn’s disease (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 5</uri>
). Both of the studies from Nigeria reported that national health insurance programs are available but that coverage is limited, so all treatments were paid for out of pocket by patients[
<xref rid="B61" ref-type="bibr">61</xref>
,
<xref rid="B62" ref-type="bibr">62</xref>
]. Studies from India were more variable, with one from 2009 explaining that cost of medications was not a factor[
<xref rid="B56" ref-type="bibr">56</xref>
], another in 2017 reporting that 60% of patients were covered by private insurance[
<xref rid="B63" ref-type="bibr">63</xref>
], and most recently in 2019 where 14.3% of patients discontinued Adalimumab due to high cost.</p>
</sec>
<sec>
<title>Challenges and barriers</title>
<p>Of the 21 LLMICs included in this review, 14 hypothesized at least one specific diagnostic, management, access, or financial challenge or barrier to individuals with Crohn’s disease and providers (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 6</uri>
for a summary of diagnostic, management, access, and financial challenges and barriers to individuals with Crohn’s and providers in LLMICs). The most commonly reported provider challenge is differentiating between Crohn’s and intestinal tuberculosis (ITB), due to the high prevalence of TB in LLMICs and its overlap of symptoms and endoscopic features. This can result in long delays in disease diagnosis and thus appropriate treatment. A total of 36 studies in 10 countries in the review included distinguishing between Crohn’s and ITB as a diagnostic challenge to providers (Table
<xref rid="T4" ref-type="table">4</xref>
). This was followed by diagnostic delays due to perceived rarity of IBD and lack of clinical awareness among providers, which was mentioned in 17 studies from eight countries, and lack of quality diagnostic facilities, which was mentioned in 14 studies from eight countries. Management challenges to Crohn’s providers were discussed less frequently than diagnostic challenges, with three studies reporting limited use of biologics due to cost, and one reporting risk of TB reactivation on biologics.</p>
<table-wrap id="T4" position="float">
<label>Table 4</label>
<caption>
<p>Most frequently reported diagnostic, management, access, and financial challenges and barriers to Crohn’s patients and providers in low and lower-middle income countries</p>
</caption>
<table frame="hsides" rules="groups">
<thead align="center">
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Provider diagnostic challenges</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Number of countries</bold>
</td>
<td rowspan="1" colspan="1">
<bold>Number of studies</bold>
</td>
</tr>
</thead>
<tbody align="center">
<tr>
<td align="left" rowspan="1" colspan="1">Difficulty differentiating between Crohn’s and ITB</td>
<td rowspan="1" colspan="1">10</td>
<td rowspan="1" colspan="1">36</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Low disease index of suspicion/clinical awareness due to perceived rarity of Crohn’s leads to underdiagnosis</td>
<td rowspan="1" colspan="1">8</td>
<td rowspan="1" colspan="1">17</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Lack of quality diagnostic facilities and investigational modalities</td>
<td rowspan="1" colspan="1">8</td>
<td rowspan="1" colspan="1">14</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Difficulty differentiating between Crohn’s and other infectious diseases</td>
<td rowspan="1" colspan="1">7</td>
<td rowspan="1" colspan="1">16</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Difficulty differentiating between Crohn’s and UC</td>
<td rowspan="1" colspan="1">5</td>
<td rowspan="1" colspan="1">7</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Diagnosis of Crohn’s made on histological exam of resected colon</td>
<td rowspan="1" colspan="1">2</td>
<td rowspan="1" colspan="1">3</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Lack of reliable TB testing modalities</td>
<td rowspan="1" colspan="1">2</td>
<td rowspan="1" colspan="1">2</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Provider Management Challenges</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Use of biologics is limited due to cost</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">3</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">High risk of TB infection reactivation in patients treated with biologics</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">1</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Patient Access Barriers</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Lack of access to high quality health care services</td>
<td rowspan="1" colspan="1">4</td>
<td rowspan="1" colspan="1">9</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Lack of education/knowledge about disease</td>
<td rowspan="1" colspan="1">3</td>
<td rowspan="1" colspan="1">3</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Lack of access to Crohn’s medications</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">1</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Patient Financial Barriers</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Patients unable to afford treatment in general (medications and surgeries)</td>
<td rowspan="1" colspan="1">6</td>
<td rowspan="1" colspan="1">9</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">High cost of diagnostic testing</td>
<td rowspan="1" colspan="1">3</td>
<td rowspan="1" colspan="1">4</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Lack of insurance coverage</td>
<td rowspan="1" colspan="1">2</td>
<td rowspan="1" colspan="1">4</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Patients unable to afford biologics</td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1">3</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ITB: Intestinal tuberculosis; TB: Tuberculosis; UC: Ulcerative colitis.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The most frequently reported patient barrier was cost of Crohn’s surgeries and medications, particularly biologics. Patients’ inability to afford the costs of their treatment in general was mentioned in nine studies, and high cost of biologics specifically in three studies (Table
<xref rid="T4" ref-type="table">4</xref>
). Lack of access to high quality health care facilities was another common patient barrier, with nine studies describing access to care as a patient barrier.</p>
</sec>
</sec>
<sec>
<title>DISCUSSION</title>
<sec>
<title>Summary of findings</title>
<p>The majority of publications describing Crohn’s disease in low and lower-middle income countries are from South Asia, with nearly half of the studies included in this review taking place in India. However, 73% of LLMICs worldwide don’t have any published studies on Crohn’s, highlighting a major lack of published data. There is an even more severe lack of population-based epidemiologic data about Crohn’s in LLMICs, with only four LLMICs reporting incidence or prevalence data-- India, Indonesia, Sri Lanka, and the Philippines, all of which are in Asia. Given the numerous diagnostic challenges facing gastroenterologists in diagnosing Crohn’s in LLMICs, this gap in knowledge might be reflective of providers’ inability to diagnose the disease due to these challenges, or simply a lack of resources to publish the data, rather than a true absence of IBD in these populations. It is quite telling that a majority (211) of the studies included in this review are from large tertiary facilities in capitol cities, which have the capacity to diagnose Crohn’s disease (see
<uri xlink:type="simple" xlink:href="https://f6publishing.blob.core.windows.net/89ee8651-f657-4f88-90a0-f65f8a195630/WJG-26-6891-supplementary-material.pdf">Supplementary Table 7</uri>
for a summary of all facilities included in the review).</p>
<p>The primary diagnostic challenges facing Crohn’s disease providers in LLMIC are: difficulty differentiating between Crohn’s and ITB, limited clinical awareness and low index of suspicion, and a lack of quality diagnostic facilities and investigational modalities. Distinguishing between Crohn’s and ITB is a serious issue for gastroenterologists in countries where TB is prevalent. Crohn’s and ITB overlap substantially in terms of their clinical symptoms, as well as their endoscopic, pathologic, and radiologic findings, but have entirely different treatment methods. Many providers in LLMICs treat TB empirically before even considering Crohn’s disease, which can delay diagnosis by months or years. Algorithms for accurately diagnosing Crohn’s and TB is an important area of gastroenterology research in LLMICs.</p>
</sec>
<sec>
<title>Comparison to prior reviews</title>
<p>This review is unique from prior global studies of IBD because it is the first to be focused specifically on Crohn’s disease in LLMICs. Its scoping nature has also allowed us to adapt our research questions and inclusion criteria throughout the review process, thus identifying a larger number of LLMICs reporting individuals with Crohn’s disease compared to prior reviews. These countries are: Bangladesh, Bolivia, Cameroon, Egypt, Ethiopia, Ghana, India, Indonesia, Kenya, Malawi, Morocco, Nepal, Nigeria, Pakistan, the Philippines, Sri Lanka, Sudan, Syria, Tunisia, Uganda, and Vietnam. This review also documents diagnostic barriers that suggest that current incidence and prevalence estimates for these countries are likely too low.</p>
</sec>
<sec>
<title>Research implications/future directions</title>
<p>Crohn’s disease research in general is very important in LLMICs, especially in those countries where there is no or very little data. What little data is published from LLMICs is generated primarily from large tertiary hospital and likely does not reflect the status of Crohn’s in the rest of the country. This lack of published data has contributed to a perceived rarity of Crohn’s by gastroenterologists in LLMICs, reducing their awareness of the disease and thus likelihood of accurately diagnosing it. It is critical to study and publish data on Crohn’s in LLMICs, even if they are single facility-based or case-studies, and to set up clinical data registries so that population-based epidemiologic research can shed light on the true burden of Crohn’s in these settings. A survey of gastroenterology providers in LLMICs, including in-depth interviews, would also be useful to more comprehensively capture the nuances of diagnosing and treating Crohn’s disease in low resource settings. Future studies should also collect and report data on the geography of where patients’ reside, as well as socioeconomic information such as income-level or employment.</p>
</sec>
<sec>
<title>Practice implications</title>
<p>Crohn’s disease is a time-consuming and expensive disease to diagnose and treat, and thus cost is the most significant barrier faced by Crohn’s patients in LLMICs. Biologics are especially expensive, and in some countries such as Nigeria, are only available through a special application to the government. This is further exacerbated by a general lack of insurance coverage among these patients. Although Crohn’s has historically been documented primarily among wealthier populations living in urban centers, this review does give some indication of Crohn’s in patients living in rural areas in India, Sri Lanka, Egypt, Tunisia, Ethiopia, Kenya, Indonesia, the Philippines, and Bolivia. Education of both gastroenterologists and other providers in LLMICs about the symptoms and findings of Crohn’s, especially at rural lower-level facilities, is also essential to improving disease awareness among providers and thus accurate diagnosis. Diagnosis is further delayed by a lack of reliable diagnostic facilities in remote areas of LLMICs, particularly endoscopy and pathology. Decentralizing Crohn’s care by training providers at lower-level care facilities in endoscopy and colonoscopy can potentially reduce underdiagnosis of Crohn’s in these areas. This may also be an opportunity to utilize telemedicine and telepathology technologies.</p>
</sec>
</sec>
<sec>
<title>CONCLUSION</title>
<p>This scoping review has shown that Crohn’s disease does indeed exist in LLMICs in South Asia, the Middle East and North Africa, sub-Saharan Africa, East Asia and Pacific, and Latin America and the Caribbean, sometimes in large numbers. There is a pressing need to study the population epidemiology of Crohns’ disease in LLMICs to fully understand the burden of Crohn’s disease among the world’s poorest people. This is particularly important in those countries where it has not been studied at all, and in rural areas, where there is likely the most significant underdiagnosis and lack of access to medical care.</p>
</sec>
<sec>
<title>ARTICLE HIGHLIGHTS</title>
<sec>
<title>Research background</title>
<p>Crohn’s disease is a chronic gastrointestinal disease that has been recognized in the rapidly developing upper-middle income countries of East Asia, and South America. In contrast, previous systematic reviews of published literature have found few studies on either the prevalence or incidence of Crohn’s coming from the low- and lower-middle income countries (LLMICs). In the absence of primary population data regarding Crohn’s in these countries, there has been a perception that the burden of Crohn’s remains low among the global poor. As part of an effort to understand the non-communicable burden of disease among the world’s poorest, we have conducted a scoping review with broad inclusion criteria focused on the experience with Crohn’s in LLMICs.</p>
</sec>
<sec>
<title>Research motivation</title>
<p>The correct diagnosis of Crohn’s requires a complex chain of events beginning with patients seeking care and ending with colonoscopy and histology. A break in any part of this chain resulting from gaps in financing, education, equipment, or supplies on the part of the patient or provider can result in a missed diagnosis. Crohn’s may also have an impact on patients living in extreme poverty that is out of proportion with the disease prevalence. Follow-up care for Crohn’s, like many other chronic diseases, requires frequent visits to health facilities, a steady supply of medications (including biologics), and often surgery. The absence of the services could result in a high rates of disability and death among the poor affected by Crohn’s in LLMICs.</p>
</sec>
<sec>
<title>Research objectives</title>
<p>As part of an effort to understand the non-communicable burden of disease among the world’s poorest, we have conducted a scoping review with broad inclusion criteria focused on the experience with Crohn’s in LLMICs. Specifically, this review seeks to answer the following research questions: (1) What is the published evidence regarding the burden of Crohn’s disease in communities and health facilities in LLMICs? Is underdiagnosis a problem? (2) What is the diagnostic and treatment capacity for Crohn’s disease in LLMICs? What services, equipment, and medications are used to diagnose and manage Crohn’s in LLMICs? (3) What challenges and barriers are there to providers and patients with Crohn’s disease in LLMICs in terms of diagnosis, treatment, and long-term management? And (4) What is known from the published literature regarding the social and demographic characteristics of patients with Crohn’s disease in LLMICs?</p>
</sec>
<sec>
<title>Research methods</title>
<p>The authors conducted a scoping review utilizing a full search strategy of studies that describe cases of individuals with Crohn’s disease in an LLMIC as defined by The World Bank that was developed and conducted in PubMed, Embase and World Health Organization Global Index Medicus. To capture possible undiagnosed or misdiagnosed cases of Crohn’s in LLMICs that do not have any published Crohn’s data, as well as to understand their diagnostic and treatment capacity for Crohn’s, studies that mention the use of diagnostics (
<italic>i.e</italic>
. colonoscopy, small bowel follow-through, stool calprotectin), findings (
<italic>i.e</italic>
. skip lesions, cobblestone, small bowel obstruction), and treatments (
<italic>i.e</italic>
. colectomy, small bowel resection, infliximab) utilized in managing Crohn’s disease were also included. Two independent reviewers screened the titles and abstracts of all of the publications found in this search, reviewed selected publications, and extracted relevant data, which underwent descriptive review and was analyzed in Excel.</p>
</sec>
<sec>
<title>Research results</title>
<p>The database search yielded 4486 publications, 216 of which were determined to be relevant to the research questions. Of all 79 LLMICs, only 21 (26.6%) have publications describing individuals with Crohn’s. The majority of Crohn’s studies identified are from India (49.5%), followed by Tunisia (19.0%), Egypt (8.3%), and Sri Lanka (5.1%). The mean number of Crohn’s patients reported per study is 56.84 and the median is 22, with a wide range from one to 980. Of the 21 LLMICs included in the review, only two countries (India and Sri Lanka) had studies estimating prevalence and only four countries (India, Indonesia, Sri Lanka and Philippines) had studies reporting incidence of Crohn’s disease with most of the data coming from one multi-country study.</p>
<p>Of the 216 studies included in the review, 112 discussed the utilization of diagnostic and treatment services, all of which include cases that were confirmed
<italic>via</italic>
both colonoscopy and histology. Of the 21 LLMICs included, all but Bolivia and Syria had at least one study discussing the utilization of Crohn’s diagnostic services: Blood testing, stool testing, TB testing, radiology/imaging, endoscopy, and pathology services. Corticosteroids, aminosalicyclates, and immunomodulators are the most frequently reported medications overall, while biologic agents are the least available. The most frequently discussed Crohn’s surgery overall is colectomy, followed closely by small bowel resection. Ileoanal pouches were not specifically described in any of the included studies, but several studies described other or unspecified anal surgery for Crohn’s disease. Of the 216 studies in 21 countries included in this review, only 29 studies in 11 countries discussed patient geographic, socioeconomic, or cost information.</p>
<p>Of the 21 LLMICs included in this review, 14 hypothesized at least one specific diagnostic, management, access, or financial challenge or barrier to individuals with Crohn’s disease and providers. The most commonly reported provider challenge is differentiating between Crohn’s and intestinal tuberculosis (ITB), due to the high prevalence of TB in LLMICs and its overlap of symptoms and endoscopic features. This can result in long delays in disease diagnosis and thus appropriate treatment. This was followed by diagnostic delays due to perceived rarity of IBD and lack of clinical awareness among providers, which was mentioned in 17 studies from eight countries, and lack of quality diagnostic facilities, which was mentioned in 14 studies from eight countries. The most frequently reported patient barrier was the cost of Crohn’s surgeries and medications, particularly biologics. Lack of access to high quality health care facilities was another common patient barrier, with nine studies describing access to care as a patient barrier.</p>
<p>A lack of published data has contributed to a perceived rarity of Crohn’s by gastroenterologists in LLMICs, reducing their awareness of the disease and thus likelihood of accurately diagnosing it. It is critical to study and publish data on Crohn’s in LLMICs, even if they are single facility-based or case-studies, and to set up clinical data registries so that population-based epidemiologic research can shed light on the true burden of Crohn’s in these settings.</p>
</sec>
<sec>
<title>Research conclusions</title>
<p>This scoping review has shown that Crohn’s disease does indeed exist in LLMICs in South Asia, the Middle East and North Africa, sub-Saharan Africa, East Asia and Pacific, and Latin America and the Caribbean, sometimes in large numbers.</p>
<p>This scoping review demonstrates that although there is a lack of rigorous epidemiologic data on Crohn’s disease in LLMICs, it actually does exist, sometimes in large numbers, in these settings and presents unique challenges that need to be addressed to advance non-communicable diseases care in low resource settings.</p>
<p>There is a pressing need to study the population epidemiology of Crohns’ disease in LLMICs to fully understand the burden of Crohn’s disease among the world’s poorest people. This is particularly important in those countries where it has not been studied at all, and in rural areas, where there is likely the most significant underdiagnosis and lack of access to medical care.</p>
<p>Patients with Crohn’s disease do indeed exist in low resource settings and there are existing models of service delivery that could be learned from and adapted to meet the unique challenges of management. For example, this study has found that one of the primary diagnostic challenges facing Crohn’s disease providers in LLMIC are: difficulty differentiating between Crohn’s and ITB. Crohn’s and ITB overlap substantially in terms of their clinical symptoms, as well as their endoscopic, pathologic, and radiologic findings, but have entirely different treatment methods. Many providers in LLMICs treat TB empirically before even considering Crohn’s disease, which can delay diagnosis by months or years.</p>
<p>Decentralizing Crohn’s care by training providers at lower-level care facilities in endoscopy and colonoscopy can potentially reduce underdiagnosis of Crohn’s in these areas. This may also be an opportunity to utilize telemedicine and telepathology technologies.</p>
<p>This study utilized broad inclusion criteria to map the landscape of studies showing where and how services for the management of Crohn’s disease are provided and organized.</p>
<p>If there are existing models of service delivery for patients with Crohn’s disease in low resource settings, there can also be valuable lessons in how these models can be adapted and translated to similar areas still in need of services.</p>
<p>This review seeks to answer the following research questions: (1) What is the published evidence regarding the burden of Crohn’s disease in communities and health facilities in LLMICs? Is underdiagnosis a problem? (2) What is the diagnostic and treatment capacity for Crohn’s disease in LLMICs? What services, equipment, and medications are used to diagnose and manage Crohn’s in LLMICs? (3) What challenges and barriers are there to providers and patients with Crohn’s disease in LLMICs in terms of diagnosis, treatment, and long-term management? And (4) What is known from the published literature regarding the social and demographic characteristics of patients with Crohn’s disease in LLMICs?</p>
<p>Education of both gastroenterologists and other providers in LLMICs about the symptoms and findings of Crohn’s, especially at rural lower-level facilities, is essential to improving disease awareness among providers and thus accurate diagnosis. Decentralizing Crohn’s care by training providers at lower-level care facilities in endoscopy and colonoscopy can potentially reduce underdiagnosis of Crohn’s in these areas. This may also be an opportunity to utilize telemedicine and telepathology technologies.</p>
</sec>
<sec>
<title>Research perspectives</title>
<p>Crohn’s disease research in general is very important in LLMICs, especially in those countries where there is no or very little data. What little data is published from LLMICs is generated primarily from large tertiary hospitals and likely does not reflect the status of Crohn’s in the rest of the country.</p>
<p>It is critical to study and publish data on Crohn’s in LLMICs, even if they are single facility-based or case-studies, and to set up clinical data registries so that population-based epidemiologic research can shed light on the true burden of Crohn’s in these settings.</p>
<p>A survey of gastroenterology providers in LLMICs, including in-depth interviews, would also be useful to more comprehensively capture the nuances of diagnosing and treating Crohn’s disease in low resource settings. Future studies should also collect and report data on the geography of where patients’ reside, as well as socioeconomic information such as income-level or employment. In addition, algorithms for accurately diagnosing Crohn’s and TB is an important area of gastroenterology research in LLMICs.</p>
</sec>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="COI-statement">
<p>Conflict-of-interest statement: All the authors declare that they have no competing interests.</p>
</fn>
<fn>
<p>PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.</p>
</fn>
<fn>
<p>Manuscript source: Unsolicited manuscript</p>
</fn>
<fn>
<p>Corresponding Author's Membership in Professional Societies: Massachusetts Medical Society; American Society for Gastrointestinal Endoscopy; and American Association for the Study of Liver Diseases.</p>
</fn>
<fn>
<p>Peer-review started: June 19, 2020</p>
</fn>
<fn>
<p>First decision: August 22, 2020</p>
</fn>
<fn>
<p>Article in press: October 20, 2020</p>
</fn>
<fn>
<p>Specialty type: Gastroenterology and hepatology</p>
</fn>
<fn>
<p>Country/Territory of origin: United States</p>
</fn>
<fn>
<p>Peer-review report’s scientific quality classification</p>
</fn>
<fn>
<p>Grade A (Excellent): 0</p>
</fn>
<fn>
<p>Grade B (Very good): B, B</p>
</fn>
<fn>
<p>Grade C (Good): C</p>
</fn>
<fn>
<p>Grade D (Fair): D</p>
</fn>
<fn>
<p>Grade E (Poor): 0</p>
</fn>
<fn>
<p>P-Reviewer: El-Hussuna A, Odes S, Pang Z S-Editor: Zhang L L-Editor: A P-Editor: Ma YJ</p>
</fn>
</fn-group>
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